资源列表
VRP
- 蚁群算法解车辆调度问题，即多环运输在物流配送中的解决。-ACO vehicle routing problem, namely polycyclic transport in the logistics and distribution solutions.
perceptron
- 感知器算法的分类器，学模式识别的可以看看，可以实现2维向量的线性分类-Perceptron classifier algorithm, learning pattern recognition can see, you can achieve 2-dimensional vector of linear classification
KPCA
- 将核思想运用到主成分分析中，使其映射到高维空间，而计算主成分的目的是将高维数据投影到较低维空间。-Kernel Principal Component Analysis
LDA
- 基本思想是选择使得Fisher准则函数达到极值的向量作为最佳投影方向，从而使得样本在该方向上投影后，达到最大的类间离散度和最小的类内离散度。-Linear Discriminant Analysis (Generally, LDA can also use LGE as a subroutine. However, we can use the special graph structure of LDA to obtain some computational benefits.)
LGE
- 线性图嵌入方法，该方法是一种基于图框架的子空间学习方法，被用于LPP,NPE等流行学习方法中。-(Regularized) Linear Graph Embedding (Provides a general framework for graph based subspace learning. This function will be called by LPP, NPE, IsoProjection, LSDA, MMP ...)
classifier_distance
- 经典的距离分类器，采用欧氏距离作为量度，初学模式识别的同学也能看懂-The classic distance classifier, using Euclidean distance as the measure, Pattern Recognition beginner students can understand
LPP
- 该方法是基于保持数据局部流形的降维方法，在降维后的低维空间能较好的保持其局部子流形-Locality Preserving Projection (You need to download LGE.m as well as constructW.m).
nonliner-class
- 非线性分类器，对于任意输入的2维向量采用聚类算法分类-Non-linear classifier, for any type of two-dimensional vector classification using clustering algorithms
NPE
- 流行学习的一种：邻域保持投影，该方法是局部线性嵌入的线性拓展，较好的保持了数据的局部线性结构-Neighborhood Preserving Embedding (You need to download LGE.m)
ga
- 用遗传算法解决无功优化问题的MATLAB源程序-Using genetic algorithms to solve reactive power optimization MATLAB source
RBF
- 7个RBF神经网络源程序中的应用，在matlab中能够实现，想对RBF神经网络源程序需要了解的可以下载-7 source of RBF neural network applications in matlab to achieve , want to RBF neural network can download the source code need to know
fnn
- 基于标准模型的模糊神经网络算法，VC++编写。-FNN based on standard model，achieved in vc++